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Phi-3.5-MoE-instruct vs Qwen2-VL-72B-Instruct
Comprehensive side-by-side LLM comparison
Phi-3.5-MoE-instruct leads with 19.5% higher average benchmark score. Qwen2-VL-72B-Instruct supports multimodal inputs. Overall, Phi-3.5-MoE-instruct is the stronger choice for coding tasks.
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Microsoft
Phi-3.5-MoE-instruct is a language model developed by Microsoft. It achieves strong performance with an average score of 65.6% across 31 benchmarks. It excels particularly in ARC-C (91.0%), OpenBookQA (89.6%), GSM8k (88.7%). It's licensed for commercial use, making it suitable for enterprise applications. Released in 2024, it represents Microsoft's latest advancement in AI technology.
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Alibaba Cloud / Qwen Team
Qwen2-VL-72B-Instruct is a multimodal language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 75.8% across 15 benchmarks. It excels particularly in DocVQAtest (96.5%), VCR_en_easy (91.9%), ChartQA (88.3%). As a multimodal model, it can process and understand text, images, and other input formats seamlessly. Released in 2024, it represents Alibaba Cloud / Qwen Team's latest advancement in AI technology.
6 days newer
Phi-3.5-MoE-instruct
Microsoft
2024-08-23
Qwen2-VL-72B-Instruct
Alibaba Cloud / Qwen Team
2024-08-29
Average performance across 46 common benchmarks
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Phi-3.5-MoE-instruct
Average Score:44.2%(+19.5%)
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Qwen2-VL-72B-Instruct
Average Score:24.7%
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Knowledge Cutoff
Training data recency comparison
Qwen2-VL-72B-Instruct
2023-06-30
More recent knowledge cutoff means awareness of newer technologies and frameworks
Provider Availability & Performance
Available providers and their performance metrics
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Phi-3.5-MoE-instruct
0 providers
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Qwen2-VL-72B-Instruct
0 providers
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Phi-3.5-MoE-instruct
Avg Score:44.2%(+19.5%)
Providers:0
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Qwen2-VL-72B-Instruct
Avg Score:24.7%
Providers:0